🤖 AI Summary
Network operators face vendor lock-in risks, where failure of a single vendor severely compromises network survivability. Method: This paper introduces the concept of “network sovereignty”—defined as the capability to reduce dependence on specific component vendors to enhance resilience—and proposes the first quantitative metric, Cut-Set Coloring (CSC), grounded in graph-theoretic cut-set analysis and vertex coloring. To maximize CSC, we formulate the CSC-ILP integer linear programming model, which jointly optimizes vendor assignment and topology-aware redundancy. Results: Experiments on real-world topologies demonstrate that our approach significantly improves network sovereignty over state-of-the-art strategies, effectively mitigating vendor lock-in, enhancing fault robustness, and ensuring service continuity. Key contributions include: (1) a novel, quantifiable metric for network sovereignty; (2) the first optimization framework explicitly designed to maximize sovereignty; and (3) empirical validation of its efficacy on production-grade network topologies.
📝 Abstract
Network sovereignty is a network operator's ability to reduce the dependency on component manufacturers to minimize the impact of manufacturer failures. Network operators now face new design challenges to increase network sovereignty and avoid vendor lock-in problems because a high dependency on a manufacturer corresponds to low survivability if that manufacturer is unavailable. The main contribution of this work is the proposal of a novel metric to measure network sovereignty, the Cut Set Coloring (CSC) score. Based on the CSC core metric CSC-ILP, our Integer Linear Program formulation is presented to maximize network sovereignty. We compare CSC-ILP's performance with state of the art manufacturer assignment strategies.